统一抽象 封装 模型配置配置管理

app/ai/resume_extractor/extractor.py

@@ -11,7 +11,7 @@ import time
 from langchain_core.output_parsers import StrOutputParser
 from langchain_core.prompts import ChatPromptTemplate
 
-from app.ai.models import LLM
+from app.ai.model_config import ResumeExtractorModel
 from app.ai.resume_extractor.prompts import (
     OVERVIEW_PROFILE_PROMPT, OVERVIEW_EDUCATION_PROMPT, OVERVIEW_WORK_PROMPT,
     OVERVIEW_PROJECT_PROMPT, OVERVIEW_COMPETITION_PROMPT,
@@ -21,14 +21,12 @@ from app.ai.resume_extractor.prompts import (
 from app.core.logger import log
 from app.tool.json_helper import parse_llm_json
 
-_LLM_MODEL = LLM.DOUBAO_LITE_32K
-
 
 # ==================== LLM 调用工具 ====================
 
 def _build_chain(prompt: str):
     """构建提取链：prompt → LLM → 文本输出"""
-    return ChatPromptTemplate.from_messages([("system", prompt), ("human", "{text}")]) | _LLM_MODEL.create(temperature=0) | StrOutputParser()
+    return ChatPromptTemplate.from_messages([("system", prompt), ("human", "{text}")]) | ResumeExtractorModel.PARSE | StrOutputParser()
 
 
 async def _safe_invoke(chain, inp: dict, label: str):